The program offers hands-on experience with SDSC's Expanse supercomputer and one-on-one access to SDSC experts, focusing on migrating AI applications to large-scale HPC systems.
The Cyberinfrastructure-Enabled Machine Learning (CIML) Summer Institute, hosted by the San Diego Supercomputer Center (SDSC) at UC San Diego, focuses on equipping researchers, developers, and educators with the best practices for running AI, machine learning (ML), and deep learning (DL) applications on advanced cyberinfrastructure and high-performance computing (HPC) systems. Participants will learn techniques to migrate their AI applications from local resources to large-scale HPC systems like SDSC's Expanse supercomputer. The program emphasizes hands-on tutorials and interactive classes, providing practical experience in scalable ML, deep learning, and large language model (LLM) inference. Attendees will also have opportunities for one-on-one discussions with SDSC experts to address their specific AI challenges. The institute aims to broaden participation in AI/ML/DL research by recruiting individuals from institutions with limited access to advanced supercomputing resources, fostering a diverse national AI research community.
A typical day involves highly interactive classes with hands-on tutorials using SDSC's Expanse supercomputer, covering topics such as HPC techniques, machine learning, scalable machine learning, deep learning, and large language model inference.
This institute is best for researchers, developers, and educators who have knowledge or experience with machine learning and AI, and are interested in migrating and running their AI applications on large-scale high-performance computing systems.
9836 Hopkins Drive, La Jolla, CA 92093-0505
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